Optimizing video delivery to multiple users over a wireless channel is a challenging task, especially when the objective of maximizing the spectral efficiency has to be jointly considered with the objective of providing a fair video quality. In this paper a novel cross-layer optimization framework for scalable video delivery over OFDMA wireless systems is proposed, aiming at maximizing the sum of the achievable rates while minimizing the distortion difference among multiple videos. Layering as optimization decomposition is considered to vertically decompose the problem and a novel efficient iterative local approximation (ILA) approach is proposed to evaluate the global solution. The ILA algorithm requires a limited information exchange between the application and the MAC layers, which independently run algorithms that handle parameters and constraints characteristic of a single layer. The numerical evaluations show the fast convergence of the ILA algorithm and demonstrate the significant video quality improvement of the proposed strategy with respect to optimizations based on rate fairness.

Cross-Layer Algorithms for Distortion-Fair Scalable Video Delivery over OFDMA Wireless Systems

CICALO', Sergio;TRALLI, Velio
2012

Abstract

Optimizing video delivery to multiple users over a wireless channel is a challenging task, especially when the objective of maximizing the spectral efficiency has to be jointly considered with the objective of providing a fair video quality. In this paper a novel cross-layer optimization framework for scalable video delivery over OFDMA wireless systems is proposed, aiming at maximizing the sum of the achievable rates while minimizing the distortion difference among multiple videos. Layering as optimization decomposition is considered to vertically decompose the problem and a novel efficient iterative local approximation (ILA) approach is proposed to evaluate the global solution. The ILA algorithm requires a limited information exchange between the application and the MAC layers, which independently run algorithms that handle parameters and constraints characteristic of a single layer. The numerical evaluations show the fast convergence of the ILA algorithm and demonstrate the significant video quality improvement of the proposed strategy with respect to optimizations based on rate fairness.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/1823103
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 4
  • ???jsp.display-item.citation.isi??? 4
social impact